What Jobs are available for AI Research in Bahrain?
Showing 2705 AI Research jobs in Bahrain
AI Research Scientist (Deep Learning)
Posted 1 day ago
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Job Description
Responsibilities:
- Conducting research and development of advanced deep learning models and algorithms.
- Designing, training, and evaluating neural networks for various AI applications.
- Processing and analyzing large-scale datasets.
- Implementing and optimizing AI models using frameworks like TensorFlow and PyTorch.
- Collaborating with engineering teams to deploy AI solutions.
- Staying current with the latest advancements in AI and machine learning.
- Documenting research findings and technical designs.
- Presenting research results to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 3+ years of experience in AI research and development, with a focus on deep learning.
- Proven experience in developing and deploying deep learning models.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
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AI Research Engineer - Deep Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms for complex AI problems.
- Conduct research into new AI techniques, machine learning architectures, and data processing methods.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Process and analyze large datasets to train and evaluate AI models.
- Optimize model performance for scalability, efficiency, and accuracy.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Publish research findings in reputable conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Mentor junior engineers and contribute to the team's technical growth.
- Contribute to the intellectual property portfolio through patents and publications.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras is essential. Strong programming skills in Python and experience with libraries like NumPy and Pandas are required. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving skills, creativity, and the ability to work independently and as part of a team are crucial. This hybrid role offers a flexible work arrangement, allowing for both remote work and in-office collaboration. The position is based in Isa Town, Southern, BH .
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AI Research Scientist - Deep Learning
Posted 3 days ago
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Job Description
Responsibilities include conducting in-depth research into state-of-the-art deep learning techniques, designing and training neural networks, and evaluating model performance. You will be involved in all stages of the ML lifecycle, from data acquisition and preprocessing to model deployment and monitoring. Collaborating closely with software engineers, product managers, and other researchers to translate research findings into practical applications will be a key aspect of this position. You will also be responsible for staying abreast of the latest advancements in AI and machine learning, contributing to scientific publications, and presenting findings to both technical and non-technical audiences.
We require a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. Proven experience in deep learning research and development, with a strong portfolio of published work or contributions to significant AI projects, is essential. Expertise in Python programming and deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies is highly desirable. Excellent analytical, problem-solving, and communication skills are required to articulate complex technical concepts. This role is based in **Muharraq, Muharraq, BH**, and involves a hybrid work schedule requiring periodic office presence.
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AI Research Scientist - Deep Learning
Posted 4 days ago
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Job Description
Key responsibilities include conducting cutting-edge research, publishing findings in top-tier conferences and journals, and collaborating with a team of world-class researchers and engineers. You will work with large datasets, develop robust training pipelines, and deploy models into production environments. The AI Research Scientist will stay abreast of the latest advancements in the field, identify emerging trends, and propose innovative research directions. You will contribute to the intellectual property of the company through patent filings and internal knowledge sharing. The role demands exceptional analytical and problem-solving skills, coupled with strong programming abilities in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a closely related field is essential, along with a demonstrated history of research contributions. Join us in shaping the future of artificial intelligence and creating intelligent systems that will transform industries.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in deep learning research and development.
- Proven track record of research publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in various deep learning architectures (CNNs, RNNs, Transformers, etc.).
- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
- Experience with large-scale data processing and distributed training.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills.
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AI Research Scientist - Deep Learning
Posted 9 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning, exploring novel architectures, algorithms, and applications.
- Develop and implement deep learning models for tasks such as computer vision, natural language processing, reinforcement learning, and more.
- Design and execute experiments to evaluate model performance and validate research hypotheses.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with other researchers and engineers to integrate AI solutions into products and services.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements in AI and machine learning.
- Contribute to the development of intellectual property and patents.
- Present research findings to technical and non-technical audiences.
- Mentor junior researchers and interns.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven research experience with a strong publication record in top AI/ML venues.
- Deep understanding of deep learning theory, algorithms, and architectures (e.g., CNNs, RNNs, Transformers).
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work effectively both independently and in a collaborative team environment.
This position is located in Zallaq, Southern, BH and operates on a hybrid model, requiring some on-site collaboration while offering flexibility for remote work. Our client is committed to fostering a world-class research environment. If you are passionate about advancing the field of AI, we encourage you to apply.
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AI Research Scientist - Deep Learning
Posted 11 days ago
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Job Description
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AI Research Scientist - Deep Learning
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and artificial intelligence.
- Design, develop, and implement novel deep learning models and algorithms.
- Analyze and interpret large-scale datasets to extract meaningful insights.
- Develop and execute rigorous experimental methodologies to validate research findings.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements and research trends in AI and deep learning.
- Publish research findings in leading academic conferences and journals.
- Present research work to internal and external audiences.
- Mentor junior researchers and contribute to a collaborative research environment.
- Contribute to grant proposals and secure research funding where applicable.
- Identify and explore new research directions and opportunities.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 5+ years of research experience in deep learning and machine learning.
- Proven track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and proficiency with relevant libraries (NumPy, SciPy, Pandas).
- Experience with large-scale data processing and distributed computing.
- Solid understanding of mathematical concepts underlying machine learning (linear algebra, calculus, probability).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and as part of a remote team.
- Strong communication and presentation skills.
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AI Research Scientist - Deep Learning
Posted 19 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in areas such as deep neural networks, reinforcement learning, natural language processing, and computer vision.
- Develop and implement novel AI algorithms and models using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Analyze and interpret complex datasets to extract meaningful insights and train models.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning through literature review and conference participation.
- Document research findings thoroughly and prepare scientific publications and presentations.
- Contribute to the strategic direction of AI research within the organization.
- Mentor junior researchers and contribute to a collaborative research culture.
- Present research at internal and external forums.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven research experience with a strong publication record in top-tier AI conferences and journals.
- Expertise in deep learning architectures and techniques.
- Proficiency in Python programming and experience with AI/ML libraries.
- Solid understanding of statistical methods and data analysis.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a research-intensive environment.
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AI Research Scientist (Deep Learning)
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in deep learning, machine learning, and artificial intelligence.
- Develop and implement novel algorithms and models for complex problems.
- Design and execute experiments to validate research hypotheses.
- Analyze large datasets to extract meaningful insights and train AI models.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay current with the latest advancements in AI and machine learning research through literature review and conference participation.
- Publish research findings in top-tier conferences and journals.
- Present research results to technical and non-technical audiences.
- Mentor junior researchers and interns.
- Contribute to the development of the company's AI strategy and roadmap.
- Identify new research opportunities and potential applications of AI.
- Develop and maintain high-quality code for AI models and experiments.
- Ensure the ethical and responsible development of AI technologies.
- Work closely with product teams to understand business needs and translate them into research objectives.
- Participate in cross-functional team meetings and contribute to a collaborative research environment.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong publication record in leading AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR).
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- In-depth knowledge of various neural network architectures (CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, with extensive experience in libraries like NumPy, Pandas, and Scikit-learn.
- Experience with large-scale data processing and distributed computing (e.g., Spark).
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a collaborative research team.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Knowledge of natural language processing (NLP) or computer vision is highly desirable.
- Demonstrated ability to drive research from conception to impactful results.
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AI Research Scientist - Deep Learning
Posted 23 days ago
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Job Description
Responsibilities:
- Conduct fundamental and applied research in deep learning and artificial intelligence.
- Develop novel algorithms and architectures for various AI tasks, including computer vision, natural language processing, and reinforcement learning.
- Implement, train, and evaluate large-scale deep learning models using state-of-the-art frameworks.
- Analyze complex datasets and extract meaningful insights to inform model development.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay current with the latest advancements in AI research and industry trends.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and contribute to a collaborative research environment.
- Present research progress and findings to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in relevant AI/ML conferences and journals.
- Strong theoretical understanding of deep learning, machine learning, statistics, and mathematics.
- Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and teamwork abilities.
- Ability to work independently and lead research initiatives.
- Experience with cloud platforms (AWS, GCP, Azure) is beneficial.
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Explore the forefront of innovation with AI research opportunities. These roles involve conducting cutting-edge studies, developing new algorithms, and publishing findings in top-tier conferences and journals. AI researchers are pivotal in advancing